Giulia Vecchi

1.3k total citations
11 papers, 829 citations indexed

About

Giulia Vecchi is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Giulia Vecchi has authored 11 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Giulia Vecchi's work include Endoplasmic Reticulum Stress and Disease (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Tryptophan and brain disorders (2 papers). Giulia Vecchi is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Tryptophan and brain disorders (2 papers). Giulia Vecchi collaborates with scholars based in United Kingdom, United States and Italy. Giulia Vecchi's co-authors include Michele Vendruscolo, Christopher M. Dobson, F. Ulrich Hartl, Prajwal Ciryam, Prasad Kasturi, Richard I. Morimoto, Stefan Pinkert, Matthias Mann, Dirk Walther and Min Zheng and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Allergy and Clinical Immunology.

In The Last Decade

Giulia Vecchi

11 papers receiving 824 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Giulia Vecchi United Kingdom	10	515	257	228	182	87	11	829
Patricija van Oosten‐Hawle United Kingdom	13	422 0.8×	278 1.1×	222 1.0×	202 1.1×	64 0.7×	23	742
Annemieke T. van der Goot Netherlands	6	293 0.6×	152 0.6×	137 0.6×	123 0.7×	78 0.9×	6	608
Courtney L. Klaips Germany	7	561 1.1×	165 0.6×	92 0.4×	225 1.2×	78 0.9×	7	784
Susana M. D. A. Garcia United States	10	660 1.3×	130 0.5×	377 1.7×	189 1.0×	219 2.5×	16	922
Soojin Kim United States	8	711 1.4×	186 0.7×	175 0.8×	256 1.4×	305 3.5×	10	1.0k
Johnathan Labbadia United Kingdom	7	1.1k 2.2×	376 1.5×	508 2.2×	535 2.9×	137 1.6×	9	1.7k
Jean Giacomotto Australia	17	481 0.9×	91 0.4×	126 0.6×	190 1.0×	103 1.2×	23	843
Ken‐ichi Ogura Japan	14	287 0.6×	72 0.3×	185 0.8×	97 0.5×	190 2.2×	21	689
Jeremy D. Baker United States	17	547 1.1×	275 1.1×	29 0.1×	169 0.9×	103 1.2×	24	846
Elia Di Schiavi Italy	16	396 0.8×	72 0.3×	234 1.0×	43 0.2×	91 1.0×	37	791

Countries citing papers authored by Giulia Vecchi

Since Specialization

Citations

This map shows the geographic impact of Giulia Vecchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giulia Vecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Vecchi more than expected).

Fields of papers citing papers by Giulia Vecchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Vecchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giulia Vecchi. The network helps show where Giulia Vecchi may publish in the future.

Co-authorship network of co-authors of Giulia Vecchi

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Vecchi. A scholar is included among the top collaborators of Giulia Vecchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giulia Vecchi. Giulia Vecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

D’Sa, Karishma, James R. Evans, Gurvir S. Virdi, et al.. (2023). Prediction of mechanistic subtypes of Parkinson’s using patient-derived stem cell models. Nature Machine Intelligence. 5(8). 933–946. 11 indexed citations

Agache, Ioana, Mohamed H. Shamji, Nazanin Zounemat Kermani, et al.. (2022). Multidimensional endotyping using nasal proteomics predicts molecular phenotypes in the asthmatic airways. Journal of Allergy and Clinical Immunology. 151(1). 128–137. 9 indexed citations

Mannini, Benedetta, Giulia Vecchi, Roberta Cascella, et al.. (2021). Aβ Oligomers Dysregulate Calcium Homeostasis by Mechanosensitive Activation of AMPA and NMDA Receptors. ACS Chemical Neuroscience. 12(4). 766–781. 57 indexed citations

Sui, Xiaojing, Douglas E. V. Pires, Angelique R. Ormsby, et al.. (2020). Widespread remodeling of proteome solubility in response to different protein homeostasis stresses. Proceedings of the National Academy of Sciences. 117(5). 2422–2431. 40 indexed citations

Zhao, Liang, Giulia Vecchi, Michele Vendruscolo, et al.. (2019). The Hsp70 Chaperone System Stabilizes a Thermo-sensitive Subproteome in E. coli. Cell Reports. 28(5). 1335–1345.e6. 36 indexed citations

Vecchi, Giulia, Pietro Sormanni, Benedetta Mannini, et al.. (2019). Proteome-wide observation of the phenomenon of life on the edge of solubility. Proceedings of the National Academy of Sciences. 117(2). 1015–1020. 99 indexed citations

Mannini, Benedetta, Giulia Vecchi, Adahir Labrador‐Garrido, et al.. (2019). Differential Interactome and Innate Immune Response Activation of Two Structurally Distinct Misfolded Protein Oligomers. ACS Chemical Neuroscience. 10(8). 3464–3478. 8 indexed citations

Perni, Michele, Pavan K. Challa, Julius B. Kirkegaard, et al.. (2018). Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery. Journal of Neuroscience Methods. 306. 57–67. 44 indexed citations

Freer, Rosie, Pietro Sormanni, Giulia Vecchi, et al.. (2016). A protein homeostasis signature in healthy brains recapitulates tissue vulnerability to Alzheimer’s disease. Science Advances. 2(8). e1600947–e1600947. 76 indexed citations

10.

Walther, Dirk, Prasad Kasturi, Min Zheng, et al.. (2015). Widespread Proteome Remodeling and Aggregation in Aging C. elegans. Cell. 161(4). 919–932. 428 indexed citations

11.

Esposito, Juan, Giulia Vecchi, Gaia Pupillo, et al.. (2013). Evaluation ofMo99andTc99mProductions Based on a High-Performance Cyclotron. Science and Technology of Nuclear Installations. 2013. 1–14. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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